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# Branchformer Result
## Training Config
- Feature info: using raw speech, extracting 80 dims fbank online, global cmvn, speed perturb(0.9, 1.0, 1.1), specaugment
- Train info: lr 0.001, batch_size 10000, 4 gpu(Tesla V100), acc_grad 1, 180 epochs
- Train config: conf/train_asr_branchformer.yaml
- LM config: LM was not used
## Results (CER)
- Decode config: conf/decode_asr_transformer.yaml (ctc weight:0.4)
| testset | CER(%) |
|:-----------:|:-------:|
| dev | 4.15 |
| test | 4.51 |

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# E-Branchformer Result
## Training Config
- Feature info: using raw speech, extracting 80 dims fbank online, global cmvn, speed perturb(0.9, 1.0, 1.1), specaugment
- Train info: lr 0.001, batch_size 10000, 4 gpu(Tesla V100), acc_grad 1, 180 epochs
- Train config: conf/train_asr_e_branchformer.yaml
- LM config: LM was not used
## Results (CER)
- Decode config: conf/decode_asr_transformer.yaml (ctc weight:0.4)
| testset | CER(%) |
|:-----------:|:-------:|
| dev | 4.10 |
| test | 4.52 |